5 papers · 1 filter
Reflection-Robust 6DoF Object Tracking with Light Fields
Nikolai Goncharov, Donald G. Dansereau
Tracking the 6DoF pose of a moving rigid object is fundamental to robotics and autonomous driving, but existing trackers assume that object appearance is stable across a sequence,…
A 3D Reconstruction Benchmark for Asset Inspection
James L. Gray, Nikolai Goncharov, Alexandre Cardaillac +3
Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstrea…
Light Field Based 6DoF Tracking of Previously Unobserved Objects
Nikolai Goncharov, James L. Gray, Donald G. Dansereau
Object tracking is an important step in robotics and reautonomous driving pipelines, which has to generalize to previously unseen and complex objects. Existing high-performing meth…
Segment Anything in Light Fields for Real-Time Applications via Constrained Prompting
Nikolai Goncharov, Donald G. Dansereau
Segmented light field images can serve as a powerful representation in many of computer vision tasks exploiting geometry and appearance of objects, such as object pose tracking. In…
EVOPS Benchmark: Evaluation of Plane Segmentation from RGBD and LiDAR Data
Anastasiia Kornilova, Dmitrii Iarosh, Denis Kukushkin +4
This paper provides the EVOPS dataset for plane segmentation from 3D data, both from RGBD images and LiDAR point clouds. We have designed two annotation methodologies (RGBD and LiD…